:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Ezuma, Ifeanyi, Ugwu, Ugochukwu
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2601.01056
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Magnification-Invariant Image Classification via Domain Generalization and Stable Sparse Embedding Signatures
por: Ezuma, Ifeanyi, et al.
Publicado: (2026)

Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
por: Dedieu, Lucas, et al.
Publicado: (2024)

Focused Active Learning for Histopathological Image Classification
por: Schmidt, Arne, et al.
Publicado: (2024)

Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images
por: Borji, Arezoo, et al.
Publicado: (2024)

FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
por: Ding, Weiping, et al.
Publicado: (2024)

Multimodal Deep Learning for Subtype Classification in Breast Cancer Using Histopathological Images and Gene Expression Data
por: Shandiz, Amin Honarmandi
Publicado: (2025)

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
por: Suxing, Liu, et al.
Publicado: (2025)

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images
por: Hu, Xiaoqian
Publicado: (2025)

Feature-Enhanced TResNet for Fine-Grained Food Image Classification
por: Liu, Lulu, et al.
Publicado: (2025)

Image Forgery Localization via Guided Noise and Multi-Scale Feature Aggregation
por: Niu, Yakun, et al.
Publicado: (2024)

A Novel Approach to Breast Cancer Histopathological Image Classification Using Cross-Colour Space Feature Fusion and Quantum-Classical Stack Ensemble Method
por: Mallick, Sambit, et al.
Publicado: (2024)

Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
por: Pereira, Maycon R. S., et al.
Publicado: (2026)

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
por: Zhu, Yu, et al.
Publicado: (2024)

SAC-MIL: Spatial-Aware Correlated Multiple Instance Learning for Histopathology Whole Slide Image Classification
por: Bai, Yu, et al.
Publicado: (2025)

Integrating Skeleton Based Representations for Robust Yoga Pose Classification Using Deep Learning Models
por: Mohiuddin, Mohammed, et al.
Publicado: (2025)

Is Your Text-to-Image Model Robust to Caption Noise?
por: Yu, Weichen, et al.
Publicado: (2024)

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
por: Swift, Iain, et al.
Publicado: (2026)

Contrastive Integrated Gradients: A Feature Attribution-Based Method for Explaining Whole Slide Image Classification
por: Vu, Anh Mai, et al.
Publicado: (2025)

Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation
por: Gao, Zhuangzhi, et al.
Publicado: (2026)

HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
por: Fang, Zijie, et al.
Publicado: (2024)

Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
por: Moustafa, Wesam, et al.
Publicado: (2026)

Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model
por: Kamble, Astitva, et al.
Publicado: (2025)

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models
por: Puente-Castro, Alejandro, et al.
Publicado: (2025)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
por: Cechnicka, Sarah, et al.
Publicado: (2025)

Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification
por: Brignac, Daniel, et al.
Publicado: (2026)

From Noise to Nuance: Advances in Deep Generative Image Models
por: Peng, Benji, et al.
Publicado: (2024)

Residual Feature-Reutilization Inception Network for Image Classification
por: He, Yuanpeng, et al.
Publicado: (2024)

MDF-MLLM: Deep Fusion Through Cross-Modal Feature Alignment for Contextually Aware Fundoscopic Image Classification
por: Jordan, Jason, et al.
Publicado: (2025)

Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
por: Kim, Yechan, et al.
Publicado: (2025)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
por: Erick, Franciskus Xaverius, et al.
Publicado: (2026)

NEMESIS: Noise-suppressed Efficient MAE with Enhanced Superpatch Integration Strategy
por: Kim, Kyeonghun, et al.
Publicado: (2026)

Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
por: Kumar, Saorj, et al.
Publicado: (2025)

Hybrid Deep Learning Framework for Enhanced Diabetic Retinopathy Detection: Integrating Traditional Features with AI-driven Insights
por: Maity, Arpan, et al.
Publicado: (2025)

Wise-SrNet: A Novel Architecture for Enhancing Image Classification by Learning Spatial Resolution of Feature Maps
por: Rahimzadeh, Mohammad, et al.
Publicado: (2021)

A Bayesian Approach to OOD Robustness in Image Classification
por: Kaushik, Prakhar, et al.
Publicado: (2024)

Parameter Interpolation Adversarial Training for Robust Image Classification
por: Liu, Xin, et al.
Publicado: (2025)

Feature CAM: Interpretable AI in Image Classification
por: Clement, Frincy, et al.
Publicado: (2024)

PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
por: Koohi-Moghadam, Mohamad, et al.
Publicado: (2026)

Deep Neural Networks Fused with Textures for Image Classification
por: Bera, Asish, et al.
Publicado: (2023)

Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification
por: Chen, Yaxi, et al.
Publicado: (2026)